To be FAIR: Conceptions of purity and pollution in Research Data Management (RDM)
Abstract
Heterogeneous data management practices have left the research data ecosystem messy and cluttered, worsening the problem of data reuse. To enable effective reuse, this ecosystem needs to be decluttered and organised. Efforts to address this include making data FAIR by promoting standard research data management practices. Yet, while these efforts have received significant support, they have also encountered some resistance. Typically, reasons for such resistance pertain to the resource-intensive nature of data management. In this special Open Access Week edition of the Research Data Insider, Anamika Chatterjee (PhD) will explore another reason for such resistance: scientists hold differing definitions of ‘purity’ and ‘pollution’. Anamika Chatterjee is the Centre Manager at the Centre for Digital Life Norway (DLN). With expertise in biotechnology, bioethics, and Responsible Research and Innovation (RRI), she champions interdisciplinary collaboration between researchers, policymakers, industry, and civil society to drive ethical, inclusive innovation. Previously, Anamika has worked in ELIXIR Europe’s Human Genomics and Translational Data team helping to coordinate responsible practices for cross-border exchange of health data and FAIR data governance across the life science research infrastructure. The presentation from the event is uploaded in this entry. Event organisers: Research Data Alliance Norway, Training and Outreach Group The global research data community generates valuable knowledge and advances FAIR data practices. Yet, it is challenging and time-consuming to stay up to date. The Research Data Insider is a monthly webinar series organised by the Training and Outreach group of Research Data Alliance Norway. It features speakers from the international research data community who share insights about current issues and outputs. The series aims to promote awareness, engagement, and knowledge exchange around key issues addressed by the global RDA and other research data communities.